Massachusetts Institute of Technology

Hengameh Bagherianlemraski

Marin Soljacic

Yichen Shen

Li Jing

Scott A Skirlo

Charles Roques-Carmes

Tena Dubcek

A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks—passivity, parallelization, high-speed and low-power—the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.

Optical Ising machines and optical convolutional neural networks

A photonic parallel network can be used to sample combinatorially hard distributions of Ising problems. The photonic parallel network, also called a photonic processor, finds the ground state of a general Ising problem and can probe critical behaviors of universality classes and their critical exponents. In addition to the attractive features of photonic networks&#x2014;passivity, parallelization, high-speed and low-power&#x2014;the photonic processor exploits dynamic noise that occurs during the detection process to find ground states more efficiently.

Growing community of inventors

Cambridge, MA, United States of America

Hengameh Bagherianlemraski